This is a training for shorten your words. Writing craps could help us make enough words in a short time. But now we need to focus inside: cut off the sentences or descriptions that are not related to your writing objects. Training this with three phrases: write 300 words to describe one thing, then shorten it to 200 words, and finally 100 words. Compare these three versions you can find the strange parts in your words.
If you want to speed up your writing, then you can try this training. Find a quiet place and select some words or objects you want to describe. It’s better to describe some scientific objects since we are training our scientific writing. Think about a word, and just write words, you can write craps but do not change it when you’re writing. Just keep writing until you think you can stop (about 300 words), then you can review what you’ve made, and modify it to the final version.
Most young scientists have no clue how to organise their writing, let alone how to get it done. And when they finally do write a sentence, they immediately rewrite it. This struggle continues for months until they end up with a piece of writing that does not make them happy. For many scientists, the adventure of creating new knowledge starts and ends in the nightmare. And that is not a surprise. You did not choose to become a scientist because you liked writing so much. But writing is the endpoint of your research, and it all begins with reading.
Multi-dimensional data is a very important type of data since it covers almost every kind of dataset. Most of them could be formatted into regular tables or datasheets, where the columns are called their dimensionalities. Researchers already have a lot of experience dealing with these datasets, but in the age of big data, the expansion of the number of dimensionalities (columns) is already made it big trouble for people to handle them.
Pitfalls are some dangerous areas that most people could stuck in when they write their words. Keep them in mind could be a good way to avoid meeting them, and also you can use these pitfalls to test or valid your exsiting words/sentences to see if you are in or out of them.
God gave Adam and Eve an apple, but they fed it to the pigs. Pigs were born in order to die, even after eating the forbidden fruit, they still couldn’t understand these words. VG %0kYXkg aXMgdG hl IGR heS B0 aGF0 IEkgc mVidWlsZC BteS BibG %0n IGx hc3QgeWV hci%5gSS Bwc mV mZX IgdG8gdXNl IHRo aXMgZGF0ZS B0by ByZWN hbGwgbXkgbGFzdC B3 aG %0sZS B5ZWFyLi BNYXliZS B5b3 Ug aGF2ZS ByZWFk IGFub3RoZX IgYXJ0 aWNsZS B hY m %0%2dC BzdW%2tYXJpe mluZy B0 aG UgcGFzdC B5ZWFyLC BidXQg aXTigJlz IG%2vc m UgYWJvdXQgbXkgdG hvdWdodHMgb m %00 IG%25 IHJlYWwgZX hwZXJpZW5jZSwgc28gSS BwbGFu IHRv IGRv IHRo aXMg aGVyZS%5gQWxs IHdvc mRz IGFyZS Bib3VuZC B3 aXRo IHRoZS Bw aG %00b3MgSS B0b2 %0rLi BOb3cg aXTigJlz IHRpbW UgdG8gc2F5 IGEgc mV hbC Bnb2 %0kYnll IHRv ID IwMjAu
Here you have a normal data table in your hand. It could include thousands of rows and columns, and usually, the items are all numerical numbers, which are hard to understand. Now, your task is to get information from it as much as possible.
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